Optimizing Performance in Constantly Changing Applications

But it’s a challenge to identify critical changes in topology, code and attributes, and how each can impact application performance. When one container goes down, another can pop up in its place, but if failure happens consistently, there will be a degradation of service. At the same time, constant change results in greater complexity, and if it’s not managed, it can result in burnout, downtime, and frustration.

The result is an annoying “now you see it, now you don’t” scenario for monitoring. What’s needed is real-time insight.

Container monitoring helps you to understand the impact of changes on application performance within context of your own team’s tasks and activities. Changes to application code, infrastructure, and topology can be tracked across time, enabling you to quickly pinpoint and prevent problems, as well as identify conditions that correlate to increased performance.

"In its study, EMA found that nearly 65% of companies practicing Continuous Delivery are delivering new code weekly—or more frequently."

“Identifying and Collecting Container Data”

Chapter from Container Monitoring and Management eBook

Traditional monitoring tools still work for traditional infrastructures, but newer cloud-based offerings should be supported by monitoring solutions that are as scalable as the services being built and monitored. No matter what solution or service you use, you still need to know how you’re going to collect the metrics you’re looking to monitor.

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